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Identifying locations from geospatial trajectories
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Thomason, Alasdair, Griffiths, Nathan and Sanchez Silva, Victor (2016) Identifying locations from geospatial trajectories. Journal of Computer and System Sciences, 82 (4). pp. 566-581. doi:10.1016/j.jcss.2015.10.005 ISSN 0022-0000.
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Official URL: http://dx.doi.org/10.1016/j.jcss.2015.10.005
Abstract
Harnessing the latent knowledge present in geospatial trajectories allows for the potential to revolutionise our understanding of behaviour. This paper discusses one component of such analysis, namely the extraction of significant locations. Specifically, we: (i) present the Gradient-based Visit Extractor (GVE) algorithm capable of extracting periods of low mobility from geospatial data, while maintaining resilience to noise, and addressing the drawbacks of existing techniques, (ii) provide a comprehensive analysis of the properties of these visits and consequent locations, extracted through clustering, and (iii) demonstrate the applicability of GVE to the problem of visit extraction with respect to representative use-cases.
Item Type: | Journal Article | ||||||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||||
Library of Congress Subject Headings (LCSH): | Geospatial data , Cell phones , Wireless localization | ||||||||||
Journal or Publication Title: | Journal of Computer and System Sciences | ||||||||||
Publisher: | Academic Press | ||||||||||
ISSN: | 0022-0000 | ||||||||||
Official Date: | June 2016 | ||||||||||
Dates: |
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Volume: | 82 | ||||||||||
Number: | 4 | ||||||||||
Page Range: | pp. 566-581 | ||||||||||
DOI: | 10.1016/j.jcss.2015.10.005 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||
Date of first compliant deposit: | 15 December 2015 | ||||||||||
Date of first compliant Open Access: | 30 November 2016 |
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